CfnSpace
- class aws_cdk.aws_sagemaker.CfnSpace(scope, id, *, domain_id, space_name, space_settings=None, tags=None)
Bases:
CfnResource
A CloudFormation
AWS::SageMaker::Space
.Creates a space used for real time collaboration in a Domain.
- CloudformationResource:
AWS::SageMaker::Space
- Link:
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-space.html
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_sagemaker as sagemaker cfn_space = sagemaker.CfnSpace(self, "MyCfnSpace", domain_id="domainId", space_name="spaceName", # the properties below are optional space_settings=sagemaker.CfnSpace.SpaceSettingsProperty( jupyter_server_app_settings=sagemaker.CfnSpace.JupyterServerAppSettingsProperty( default_resource_spec=sagemaker.CfnSpace.ResourceSpecProperty( instance_type="instanceType", sage_maker_image_arn="sageMakerImageArn", sage_maker_image_version_arn="sageMakerImageVersionArn" ) ), kernel_gateway_app_settings=sagemaker.CfnSpace.KernelGatewayAppSettingsProperty( custom_images=[sagemaker.CfnSpace.CustomImageProperty( app_image_config_name="appImageConfigName", image_name="imageName", # the properties below are optional image_version_number=123 )], default_resource_spec=sagemaker.CfnSpace.ResourceSpecProperty( instance_type="instanceType", sage_maker_image_arn="sageMakerImageArn", sage_maker_image_version_arn="sageMakerImageVersionArn" ) ) ), tags=[CfnTag( key="key", value="value" )] )
Create a new
AWS::SageMaker::Space
.- Parameters:
scope (
Construct
) –scope in which this resource is defined.
id (
str
) –scoped id of the resource.
domain_id (
str
) – The ID of the associated Domain.space_name (
str
) – The name of the space.space_settings (
Union
[IResolvable
,SpaceSettingsProperty
,Dict
[str
,Any
],None
]) – A collection of space settings.tags (
Optional
[Sequence
[Union
[CfnTag
,Dict
[str
,Any
]]]]) – An array of key-value pairs to apply to this resource. For more information, see Tag .
Methods
- add_deletion_override(path)
Syntactic sugar for
addOverride(path, undefined)
.- Parameters:
path (
str
) – The path of the value to delete.- Return type:
None
- add_depends_on(target)
Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.
This can be used for resources across stacks (or nested stack) boundaries and the dependency will automatically be transferred to the relevant scope.
- Parameters:
target (
CfnResource
) –- Return type:
None
- add_metadata(key, value)
Add a value to the CloudFormation Resource Metadata.
- Parameters:
key (
str
) –value (
Any
) –
- See:
- Return type:
None
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html
Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.
- add_override(path, value)
Adds an override to the synthesized CloudFormation resource.
To add a property override, either use
addPropertyOverride
or prefixpath
with “Properties.” (i.e.Properties.TopicName
).If the override is nested, separate each nested level using a dot (.) in the path parameter. If there is an array as part of the nesting, specify the index in the path.
To include a literal
.
in the property name, prefix with a\
. In most programming languages you will need to write this as"\\."
because the\
itself will need to be escaped.For example:
cfn_resource.add_override("Properties.GlobalSecondaryIndexes.0.Projection.NonKeyAttributes", ["myattribute"]) cfn_resource.add_override("Properties.GlobalSecondaryIndexes.1.ProjectionType", "INCLUDE")
would add the overrides Example:
"Properties": { "GlobalSecondaryIndexes": [ { "Projection": { "NonKeyAttributes": [ "myattribute" ] ... } ... }, { "ProjectionType": "INCLUDE" ... }, ] ... }
The
value
argument toaddOverride
will not be processed or translated in any way. Pass raw JSON values in here with the correct capitalization for CloudFormation. If you pass CDK classes or structs, they will be rendered with lowercased key names, and CloudFormation will reject the template.- Parameters:
path (
str
) –The path of the property, you can use dot notation to override values in complex types. Any intermdediate keys will be created as needed.
value (
Any
) –The value. Could be primitive or complex.
- Return type:
None
- add_property_deletion_override(property_path)
Adds an override that deletes the value of a property from the resource definition.
- Parameters:
property_path (
str
) – The path to the property.- Return type:
None
- add_property_override(property_path, value)
Adds an override to a resource property.
Syntactic sugar for
addOverride("Properties.<...>", value)
.- Parameters:
property_path (
str
) – The path of the property.value (
Any
) – The value.
- Return type:
None
- apply_removal_policy(policy=None, *, apply_to_update_replace_policy=None, default=None)
Sets the deletion policy of the resource based on the removal policy specified.
The Removal Policy controls what happens to this resource when it stops being managed by CloudFormation, either because you’ve removed it from the CDK application or because you’ve made a change that requires the resource to be replaced.
The resource can be deleted (
RemovalPolicy.DESTROY
), or left in your AWS account for data recovery and cleanup later (RemovalPolicy.RETAIN
).- Parameters:
policy (
Optional
[RemovalPolicy
]) –apply_to_update_replace_policy (
Optional
[bool
]) – Apply the same deletion policy to the resource’s “UpdateReplacePolicy”. Default: truedefault (
Optional
[RemovalPolicy
]) – The default policy to apply in case the removal policy is not defined. Default: - Default value is resource specific. To determine the default value for a resoure, please consult that specific resource’s documentation.
- Return type:
None
- get_att(attribute_name)
Returns a token for an runtime attribute of this resource.
Ideally, use generated attribute accessors (e.g.
resource.arn
), but this can be used for future compatibility in case there is no generated attribute.- Parameters:
attribute_name (
str
) – The name of the attribute.- Return type:
- get_metadata(key)
Retrieve a value value from the CloudFormation Resource Metadata.
- Parameters:
key (
str
) –- See:
- Return type:
Any
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html
Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.
- inspect(inspector)
Examines the CloudFormation resource and discloses attributes.
- Parameters:
inspector (
TreeInspector
) –tree inspector to collect and process attributes.
- Return type:
None
- override_logical_id(new_logical_id)
Overrides the auto-generated logical ID with a specific ID.
- Parameters:
new_logical_id (
str
) – The new logical ID to use for this stack element.- Return type:
None
- to_string()
Returns a string representation of this construct.
- Return type:
str
- Returns:
a string representation of this resource
Attributes
- CFN_RESOURCE_TYPE_NAME = 'AWS::SageMaker::Space'
- attr_space_arn
The space’s Amazon Resource Name (ARN).
- CloudformationAttribute:
SpaceArn
- cfn_options
Options for this resource, such as condition, update policy etc.
- cfn_resource_type
AWS resource type.
- creation_stack
return:
the stack trace of the point where this Resource was created from, sourced from the +metadata+ entry typed +aws:cdk:logicalId+, and with the bottom-most node +internal+ entries filtered.
- domain_id
The ID of the associated Domain.
- logical_id
The logical ID for this CloudFormation stack element.
The logical ID of the element is calculated from the path of the resource node in the construct tree.
To override this value, use
overrideLogicalId(newLogicalId)
.- Returns:
the logical ID as a stringified token. This value will only get resolved during synthesis.
- node
The construct tree node associated with this construct.
- ref
Return a string that will be resolved to a CloudFormation
{ Ref }
for this element.If, by any chance, the intrinsic reference of a resource is not a string, you could coerce it to an IResolvable through
Lazy.any({ produce: resource.ref })
.
- space_name
The name of the space.
- space_settings
A collection of space settings.
- stack
The stack in which this element is defined.
CfnElements must be defined within a stack scope (directly or indirectly).
Static Methods
- classmethod is_cfn_element(x)
Returns
true
if a construct is a stack element (i.e. part of the synthesized cloudformation template).Uses duck-typing instead of
instanceof
to allow stack elements from different versions of this library to be included in the same stack.- Parameters:
x (
Any
) –- Return type:
bool
- Returns:
The construct as a stack element or undefined if it is not a stack element.
- classmethod is_cfn_resource(construct)
Check whether the given construct is a CfnResource.
- Parameters:
construct (
IConstruct
) –- Return type:
bool
- classmethod is_construct(x)
Return whether the given object is a Construct.
- Parameters:
x (
Any
) –- Return type:
bool
CustomImageProperty
- class CfnSpace.CustomImageProperty(*, app_image_config_name, image_name, image_version_number=None)
Bases:
object
A custom SageMaker image.
For more information, see Bring your own SageMaker image .
- Parameters:
app_image_config_name (
str
) – The name of the AppImageConfig.image_name (
str
) – The name of the CustomImage. Must be unique to your account.image_version_number (
Union
[int
,float
,None
]) – The version number of the CustomImage.
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_sagemaker as sagemaker custom_image_property = sagemaker.CfnSpace.CustomImageProperty( app_image_config_name="appImageConfigName", image_name="imageName", # the properties below are optional image_version_number=123 )
Attributes
- app_image_config_name
The name of the AppImageConfig.
- image_name
The name of the CustomImage.
Must be unique to your account.
- image_version_number
The version number of the CustomImage.
JupyterServerAppSettingsProperty
- class CfnSpace.JupyterServerAppSettingsProperty(*, default_resource_spec=None)
Bases:
object
The JupyterServer app settings.
- Parameters:
default_resource_spec (
Union
[IResolvable
,ResourceSpecProperty
,Dict
[str
,Any
],None
]) – The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the JupyterServer app. If you use theLifecycleConfigArns
parameter, then this parameter is also required.- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_sagemaker as sagemaker jupyter_server_app_settings_property = sagemaker.CfnSpace.JupyterServerAppSettingsProperty( default_resource_spec=sagemaker.CfnSpace.ResourceSpecProperty( instance_type="instanceType", sage_maker_image_arn="sageMakerImageArn", sage_maker_image_version_arn="sageMakerImageVersionArn" ) )
Attributes
- default_resource_spec
The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the JupyterServer app.
If you use the
LifecycleConfigArns
parameter, then this parameter is also required.
KernelGatewayAppSettingsProperty
- class CfnSpace.KernelGatewayAppSettingsProperty(*, custom_images=None, default_resource_spec=None)
Bases:
object
The KernelGateway app settings.
- Parameters:
custom_images (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,CustomImageProperty
,Dict
[str
,Any
]]],None
]) – A list of custom SageMaker images that are configured to run as a KernelGateway app.default_resource_spec (
Union
[IResolvable
,ResourceSpecProperty
,Dict
[str
,Any
],None
]) – The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the KernelGateway app. .. epigraph:: The Amazon SageMaker Studio UI does not use the default instance type value set here. The default instance type set here is used when Apps are created using the AWS Command Line Interface or AWS CloudFormation and the instance type parameter value is not passed.
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_sagemaker as sagemaker kernel_gateway_app_settings_property = sagemaker.CfnSpace.KernelGatewayAppSettingsProperty( custom_images=[sagemaker.CfnSpace.CustomImageProperty( app_image_config_name="appImageConfigName", image_name="imageName", # the properties below are optional image_version_number=123 )], default_resource_spec=sagemaker.CfnSpace.ResourceSpecProperty( instance_type="instanceType", sage_maker_image_arn="sageMakerImageArn", sage_maker_image_version_arn="sageMakerImageVersionArn" ) )
Attributes
- custom_images
A list of custom SageMaker images that are configured to run as a KernelGateway app.
- default_resource_spec
The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the KernelGateway app.
The Amazon SageMaker Studio UI does not use the default instance type value set here. The default instance type set here is used when Apps are created using the AWS Command Line Interface or AWS CloudFormation and the instance type parameter value is not passed.
ResourceSpecProperty
- class CfnSpace.ResourceSpecProperty(*, instance_type=None, sage_maker_image_arn=None, sage_maker_image_version_arn=None)
Bases:
object
Specifies the ARN’s of a SageMaker image and SageMaker image version, and the instance type that the version runs on.
- Parameters:
instance_type (
Optional
[str
]) – The instance type that the image version runs on. .. epigraph:: JupyterServer apps only support thesystem
value. For KernelGateway apps , thesystem
value is translated toml.t3.medium
. KernelGateway apps also support all other values for available instance types.sage_maker_image_arn (
Optional
[str
]) – The ARN of the SageMaker image that the image version belongs to.sage_maker_image_version_arn (
Optional
[str
]) – The ARN of the image version created on the instance.
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_sagemaker as sagemaker resource_spec_property = sagemaker.CfnSpace.ResourceSpecProperty( instance_type="instanceType", sage_maker_image_arn="sageMakerImageArn", sage_maker_image_version_arn="sageMakerImageVersionArn" )
Attributes
- instance_type
The instance type that the image version runs on.
JupyterServer apps only support the
system
value.For KernelGateway apps , the
system
value is translated toml.t3.medium
. KernelGateway apps also support all other values for available instance types.
- sage_maker_image_arn
The ARN of the SageMaker image that the image version belongs to.
- sage_maker_image_version_arn
The ARN of the image version created on the instance.
SpaceSettingsProperty
- class CfnSpace.SpaceSettingsProperty(*, jupyter_server_app_settings=None, kernel_gateway_app_settings=None)
Bases:
object
A collection of space settings.
- Parameters:
jupyter_server_app_settings (
Union
[IResolvable
,JupyterServerAppSettingsProperty
,Dict
[str
,Any
],None
]) – The JupyterServer app settings.kernel_gateway_app_settings (
Union
[IResolvable
,KernelGatewayAppSettingsProperty
,Dict
[str
,Any
],None
]) – The KernelGateway app settings.
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_sagemaker as sagemaker space_settings_property = sagemaker.CfnSpace.SpaceSettingsProperty( jupyter_server_app_settings=sagemaker.CfnSpace.JupyterServerAppSettingsProperty( default_resource_spec=sagemaker.CfnSpace.ResourceSpecProperty( instance_type="instanceType", sage_maker_image_arn="sageMakerImageArn", sage_maker_image_version_arn="sageMakerImageVersionArn" ) ), kernel_gateway_app_settings=sagemaker.CfnSpace.KernelGatewayAppSettingsProperty( custom_images=[sagemaker.CfnSpace.CustomImageProperty( app_image_config_name="appImageConfigName", image_name="imageName", # the properties below are optional image_version_number=123 )], default_resource_spec=sagemaker.CfnSpace.ResourceSpecProperty( instance_type="instanceType", sage_maker_image_arn="sageMakerImageArn", sage_maker_image_version_arn="sageMakerImageVersionArn" ) ) )
Attributes
- jupyter_server_app_settings
The JupyterServer app settings.
- kernel_gateway_app_settings
The KernelGateway app settings.